Abstract
Summary: Detecting periodicity in large scale data remains a challenge. While efforts have been made to identify best of breed algorithms, relatively little research has gone into integrating these methods in a generalizable method. Here, we present MetaCycle, an R package that incorporates ARSER, JTK-CYCLE and Lomb-Scargle to conveniently evaluate periodicity in time-series data. MetaCycle has two functions, meta2d and meta3d, designed to analyze two-dimensional and three-dimensional time-series datasets, respectively. Meta2d implements N-version programming concepts using a suite of algorithms and integrating their results.
| Original language | English |
|---|---|
| Pages (from-to) | 3351-3353 |
| Number of pages | 3 |
| Journal | Bioinformatics |
| Volume | 32 |
| Issue number | 21 |
| DOIs | |
| State | Published - Nov 1 2016 |
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